Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression profiling of the prostate biopsy samples from cancer and adjacent normal tissues of European American prostate cancer patients

ABSTRACT: Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in EA PCa vs. EA normal.

ORGANISM(S): Homo sapiens

PROVIDER: GSE71783 | GEO | 2015/08/07

SECONDARY ACCESSION(S): PRJNA292154

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

MicroRNA expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients

2015-07-27 | GSE64318 | GEO

Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients

2015-07-27 | GSE64331 | GEO

MicroRNA expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients

Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the thebiological risk factors associated with PCa disparities observed in AA and EA patients, we performed microRNA profiling using Agilent Human miRNA arrays to identify the differentially expressed microRNAs beween: 1) AA and EA PCa patients; 2) AA PCa vs. AA normal; and 3) EA PCa vs. EA normal. 54 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 14 African American and 13 European American prostate cancer patients. 54 RNA samples, purified from the collected biopy specimens using Qiagen miRNeasy kit, were process and applied to Agilent human miRNA arrays. Array data was normalized and analyzed using Agilent GeneSpring program.

2015-07-27 | E-GEOD-64318 | biostudies-arrayexpress

Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients

Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in AA and EA patients. 35 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 20 African American and 15 European American prostate cancer patients. RNA samples, purified from the collected biopy specimens, were process and applied to Affymetrix human exon ST 1.0 arrays. Array data was normalized, batch corrected and analyzed (1-way ANOVA) using Partek Genomics Suite program.

2015-07-27 | E-GEOD-64331 | biostudies-arrayexpress

Gene expression profiling of the prostate biopsy samples from cancer and adjacent normal tissues of European American prostate cancer patients

Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in EA PCa vs. EA normal. 30 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 15 European American prostate cancer patients. RNA samples, purified from the collected biopy specimens, were process and applied to Affymetrix human exon ST 1.0 arrays. Array data was normalized, batch-corrected and analyzed (2-way ANOVA) using Partek Genomics Suite program.

2015-08-07 | E-GEOD-71783 | biostudies-arrayexpress

Gene expression profiling of the prostate biopsy samples (cancer and adjacent normal tissues) from African American prostate cancer patients

2015-08-07 | GSE71781 | GEO

Gene expression profiling of the prostate biopsy samples (cancer and adjacent normal tissues) from African American prostate cancer patients

Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes beween AA cancer and patient matched normal tissues. 40 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 20 African American prostate cancer patients. RNA samples, purified from the collected biopy specimens, were process and applied to Affymetrix human exon ST 1.0 arrays. Array data was normalized, batch-corrected and analyzed (2-way ANOVA) using Partek Genomics Suite program.

2015-08-07 | E-GEOD-71781 | biostudies-arrayexpress

Differential Gene Expression between African American and European American Colorectal Cancer Patients

Project description:The incidence and mortality of colorectal cancer (CRC) is higher in African Americans (AAs) than in other ethnic groups in the U. S., but reasons for the disparities are unknown. We performed gene expression profiling and microsatellite instability (MSI) analysis of sporadic CRCs from AAs vs. European Americans (EAs) to assess the contribution to CRC disparities. We evaluated gene expression of 43 AA and 43 EA CRC tumors matched by stage and 40 normal colon tissues using the Agilent human whole genome 4x44K cDNA arrays. Gene and pathway analysis were performed using Significance Analysis of Microarrays (SAM), 10-fold Cross Validation (10-fCV) and Ingenuity Pathway Analysis (IPA). MSI analysis was assessed with five NIH Bethesda markers. SAM revealed that 95 genes were differentially expressed between AA and EA patients at a false discovery rate of <5%. A 10f-CV demonstrated that 9 genes were differentially expressed between AA and EA with an accuracy of 97%. Nine genes (CRYBB2, PSPH, ADAL, VSIG10L, C17orf81, ARSE, ANKRD36B, ZNF835, ARHGAP6) were validated and differential expression confirmed by qRT-PCR in independent test set of 21 patients (10 AA, 11 EA). We also analyzed MSI in 57 of the CRC subjects. Overall, 15.8% of CRC patients had MSI, with a higher rate observed in EA (20%) than in AA (12%). MSI distribution by tumor site was 77% right and 23% left colon. Previously, genetic, epigenetic and environmental factors have been implicated in the etiology of CRC. Our results are the first to implicate differential gene expression in CRC disparities and support the existence of distinct tumor microenvironments in these two patients' populations. 126 total samples: 1) 43 white cancer samples; 2) 43 black cancer samples; 3) 27 white control samples; 4) 13 black control samples.

2012-05-22 | E-GEOD-28000 | biostudies-arrayexpress

Differential Gene Expression between African American and European American Colorectal Cancer Patients

2012-05-23 | GSE28000 | GEO

Gene expression profiling of African-American prostate cancer

Project description:African-American (AA) men have both a higher incidence and significantly higher mortality rates from prostate cancer (PCa) than European American (EA) men. In this study we have carried out a detailed analysis of both CNAs and gene expression changes in PCas from AA men compared to their matched benign tissues. We have identified MNX1 as a novel androgen regulated oncogene that is upregulated to a greater degree in AA PCa compared to EA PCa. Furthermore, RGS12 is a novel tumor suppressor on 4p16.3 that is preferentially deleted in AA PCa which negatively regulates MNX1 expression.

2016-08-31 | GSE71016 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data